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[SVD] fix a bug when passing image as tensor #6999

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Feb 18, 2024
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Original file line number Diff line number Diff line change
Expand Up @@ -132,15 +132,15 @@ def _encode_image(self, image, device, num_videos_per_prompt, do_classifier_free
image = _resize_with_antialiasing(image, (224, 224))
image = (image + 1.0) / 2.0

# Normalize the image with for CLIP input
image = self.feature_extractor(
images=image,
do_normalize=True,
do_center_crop=False,
do_resize=False,
do_rescale=False,
return_tensors="pt",
).pixel_values
# Normalize the image with for CLIP input
image = self.feature_extractor(
images=image,
do_normalize=True,
do_center_crop=False,
do_resize=False,
do_rescale=False,
return_tensors="pt",
).pixel_values

image = image.to(device=device, dtype=dtype)
image_embeddings = self.image_encoder(image).image_embeds
Expand Down Expand Up @@ -333,8 +333,7 @@ def __call__(

Args:
image (`PIL.Image.Image` or `List[PIL.Image.Image]` or `torch.FloatTensor`):
Image or images to guide image generation. If you provide a tensor, it needs to be compatible with
[`CLIPImageProcessor`](https://huggingface.co/lambdalabs/sd-image-variations-diffusers/blob/main/feature_extractor/preprocessor_config.json).
Image or images to guide image generation. If you provide a tensor, the expected value range is between `[0,1]`.
height (`int`, *optional*, defaults to `self.unet.config.sample_size * self.vae_scale_factor`):
The height in pixels of the generated image.
width (`int`, *optional*, defaults to `self.unet.config.sample_size * self.vae_scale_factor`):
Expand Down
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